2 publications

• Published Subscription 6 Sep 2016

  Enhanced Association Rule Mining Algorithm (EARMA) for Reducing Computational Time on Large Data Set

  By Priyanka Rana, Jaspreet Singh, Dr. Shashi Bhushan

  Abstract: Association rule learning is a trendy process for discovering exciting relationships between variables in big database. It is frequently used in market basket analysis field e.g. if a buyer buys onions and potatoes then he also purchases beef. But, in fact, it can be implemented in different application area where we want to determine the association among variables. The APRIORI method is definitely the trendiest. But, even with its good …

  Published in Research & Reviews: Discrete Mathematical Structures · Vol. 3, Issue 2, 2016 · pp. 20–25 Read article →

• Published Subscription 18 Dec 2015

  A Study of Mining High Utility Itemset

  By Priyanka Rana, Jaspreet Singh, Shashi Bhushan

  Abstract: Cost effective exploitation of a transactional database refers to the procedure of choosing the transaction sets with most cost effective features that will improve overall incomes of a company. A plethora of data mining algorithms have been recommended in the past few years to focus on mining item sets with high utility value. The word utility is about that feature of item-sets. Thus, mining algorithms tries to find out all …

  Published in Journal of Software Engineering Tools & Technology Trends · Vol. 2, Issue 3, 2015 · pp. 21–25 Read article →